Paper Info
Title
A Word Sense Disambiguation Approach for Converting Natural Language Text into a Common Semantic Description
Abstract
Concept Description Language (CDL) is a common language that represents the semantics of content in a simple and structured manner. In particular, it is intended to describe Natural Language (NL) texts in a format that can be understood and processed by computers. Since words with multiple meanings can be found from texts, it becomes necessary to perform Word Sense Disambiguation (WSD) in order to achieve a correct representation. This paper presents a WSD approach that determines best candidates for word meanings and contributes to a semi-automatic conversion of NL into CDL. We perform preliminary experiments by evaluating the approach with some test sentences and comparing with other WSD methods. Results suggest that the existence of a proper correspondence of syntactic and semantic relations for the WSD process may lead to an accurate conversion to CDL.
Year
DOI
Venue
2010
10.1109/ICSC.2010.66
Semantic Computing
Keywords
Field
DocType
natural language,semi-automatic conversion,wsd process,wsd approach,common language,concept description language,accurate conversion,best candidate,wsd method,converting natural language text,common semantic description,disambiguation approach,word sense,text analysis,mathematical model,resource description framework,semantic computing,ontologies,natural language processing,semantics,concept description,natural languages
Ontology (information science),Concept description language,Computer science,Natural language,Natural language processing,Artificial intelligence,Syntax,Semantics,Word-sense disambiguation,Semantic computing,RDF
Conference
ISSN
ISBN
Citations 
2325-6516
978-0-7695-4154-9
1
PageRank 
References 
Authors
0.38
8
3
Name
Order
Citations
PageRank
Francisco Tacoa110.72
Hiroshi Uchida210.38
Mitsuru Ishizuka33232303.83